Subpixel Target Detection in Hyperspectral Imaging Using a Deep Neural Network With a Variable Stepsize Gradient Descent Method

The main difficulty in using artificial neural networks, which are designed for classification, to detect a rare subpixel target in hyperspectral imaging is that there is typically only one actual target pixel available for training the neural networks, which require a large sample of actual target...

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Bibliografische gegevens

Hoofdauteurs:	Edisanter Lo, Damien B. Josset
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2025-01-01
Reeks:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Onderwerpen:	Hyperspectral imaging neural network stochastic gradient descent (SGD) target detection
Online toegang:	https://ieeexplore.ieee.org/document/10892630/
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